# Candida Genome Database

> **NIH NIH R01** · STANFORD UNIVERSITY · 2021 · $421,259

## Abstract

Project Summary/Abstract
The Candida Genome Database (CGD) is considered THE resource for comprehensive information about the
human fungal pathogen Candida albicans and related Candida species, and is widely used by the Candida
research community, who relies upon CGD in their everyday work. C. albicans is the third or fourth most common
nosocomial bloodstream isolate; mortality rates are high (35% or greater) and treatment is costly. It is thus vital
that there is a comprehensive and up-to-date resource for researchers investigating the biology and
pathogenesis of C. albicans, as such a resource accelerates their research. The central challenge for any
community database, in this era of high throughput technologies becoming widely available, is to turn the flood
of data into knowledge, which the community can access, use and build upon. A research community is clearly
best served by collection of all relevant data in a single location, followed by manual, expert curation of those
data, coupled with tools to allow users to search and navigate the data in an intuitive fashion. Most of the data
available in CGD are not available from any other site, and no other site performs curation of the C. albicans
literature. We re-use software wherever possible, writing our own only when necessary. This philosophy has
served us well, in that we have built CGD into an indispensable resource with modest staff, and we will continue
to apply this model going forward. In this renewal for CGD we propose to build on our previous successes. We
will expand the large-scale data types stored at CGD, curate the datasets, and provide new tools to analyze and
visualize these data. We will also use these high-throughput data to improve the sequences and primary
annotations for Candida genomes – reference genomes provide the fundamental platform upon which a
community’s research builds, and it is vital that they be accurate and correctly annotated. We will perform real-
time curation of the experimental literature, capturing gene names, mutant phenotypes, Gene Ontology Terms,
etc., from papers as they are published, so that at a glance a bench biologist can find the salient, up-to-date
information about any gene to which their research leads them. Finally, we will provide support to the Candida
scientific community, ensuring that we are continuing to serve their needs as the indispensable resource that we
have become. Together, successful completion of these aims will support and accelerate research into fungal
pathogenesis, and thus have a positive impact on human health.

## Key facts

- **NIH application ID:** 10124375
- **Project number:** 5R01DE015873-17
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Gavin J Sherlock
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $421,259
- **Award type:** 5
- **Project period:** 2004-04-01 → 2025-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10124375

## Citation

> US National Institutes of Health, RePORTER application 10124375, Candida Genome Database (5R01DE015873-17). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10124375. Licensed CC0.

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